Monitoring and evaluating the effects of vehicle-bridge interaction with artificial intelligence
DOI:
https://doi.org/10.26507/paper.4704Keywords:
vehicular bridges, vehicle-bridge interaction, impact factor, structural monitoring, artificial intelligenceAbstract
Bridges are among the most important infrastructure elements for the socioeconomic and productive development of a region. During their useful life, these structures are exposed to dynamic vehicular loads of great magnitude in addition to the action of chemical agents, natural events (such as floods, earthquakes, and wind loads), deterioration processes, lack of maintenance, and budgetary restrictions. Therefore, the analysis of the effects of Vehicle Bridge Interaction (VBI) is crucial for evaluating the safety and durability of these elements in road infrastructure. The complexity of this interaction lies in the variability of the bridge operating conditions, such as vehicle speed, type and magnitude of load, environmental conditions, and bridge geometry.
This article presents some of the results obtained in the framework of the project “Monitoring and evaluation in real time with Artificial Intelligence of the structural integrity of bridges in the Pacific Region subjected to extra-heavy vehicles”, financed by the Ministry of Science and Technology within the call 948-2024 of the Orchids: Women in Science program. In this project, an alternative for the analysis of the structural integrity of bridges is proposed, considering the effects of the Vehicle-Bridge Interaction through the evaluation of performance indicators, such as the impact factor, variations in the dynamic properties of the structure, and the Vehicle-Bridge system, integrating Artificial Intelligence techniques for the analysis of the experimental data obtained by means of a structural monitoring system.
Author Biographies
Diana Millán Yusti, Universidad del Valle
Pasante posdoctoral, Ingeniera Civil, doctora en Ingeniería con énfasis en Mecánica de Sólidos de la Universidad del Valle. Sus temas de interés son el monitoreo estructural, Interacción Vehículo-Puente, dinámica estructural e IA. Actualmente hace parte del Grupo de Investigación en Ingeniería Sísmica, Eólica, Geotécnica y Estructural, G-7.
Mauricio Marín, Universidad del Valle
Ingeniero Civil y estudiante de maestría de la Universidad del Valle. Sus temas de interés son el monitoreo estructural y la Inteligencia Artificial IA. Actualmente hace parte del Grupo de Investigación en Ingeniería Sísmica, Eólica, Geotécnica y Estructural, G-7.
Johannio Mauranda, Universidad del Valle
Profesor Titular de la Universidad del Valle. Doctor en ingeniería de la Universidad de South Carolina. Sus temas de interés son el monitoreo estructural, dinámica estructural, gestión estructural e ingeniería de puentes. Es investigador del Grupo de Investigación en Ingeniería Sísmica, Eólica, Geotécnica y Estructural, G-7.
Peter Thomson, Universidad del Valle
Profesor Titular de la Universidad del Valle, doctor en ingeniería aeroespacial de la University of Minnesota, Minneapolis, MN, USA. Sus temas de interés son el monitoreo estructural, interacción vehículo estructura, ingeniería de puentes, IA. El doctor Thomson es el director del Grupo de Investigación en Ingeniería Sísmica, Eólica, Geotécnica y Estructural, G-7.
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